Objective:To investigate the value of CT imaging radiomics in predicting the therapeutic effect of extracorporeal shock wave lithotripsy (ESWL) for pancreatic duct stones.Methods:The clinical data of 167 patients with pancreatic duct stones treated with ESWL in the Department of Gastroenterology, the First People's Hospital of Hangzhou, Westlake University from July 2016 to January 2023 were retrospectively analyzed. Patients were divided into complete lithotripsy group (stone diameter ≤3 mm, n=94) and incomplete lithotripsy group (stone diameter>3 mm, n=73), according to the size of the largest residual stone after the first ESWL treatment. ITK SNAP software was used to delineate the images of pancreatic duct stones, and the artificial intelligence tool kit developed by United Shadow Company was used to extract the image radiomics characteristics. The pancreatic duct stone data set was randomly assigned into the training set ( n=118) and the test set ( n=29) in the ratio of 8∶2, and the absolute maximum normalization treatment was used, followed by peacekeeping selection through the minimum absolute contraction and selection operator (Lasso) to calculate the CT image radiomics score, and the logistic regression classifier was used to construct the ESWL treatment effect prediction model of pancreatic duct stones. Receiver operating characteristic curves (ROC) were plotted, and the area under the curve (AUC) and sensitivity, specificity, and accuracy were calculated to assess the performance of the prediction model. Decision curve analysis was used to evaluate the clinical value of CT radiomics score in the diagnosis of ESWL for pancreatic duct stones. Results:A total of 2 287 imaging radiomics characteristics were extracted, and 11 optimal imaging radiomics characteristics were finally screened by Lasso regression dimensionality reduction to establish a prediction model for ESWL treatment effect of pancreatic duct stones. The AUC values of the training set and the test set were 0.89 and 0.87, respectively, and the sensitivity, specificity, and accuracy were 82% and 79%, 82% and 82%, 82% and 80%, respectively. The AUC value in the independent validation set was 0.90, and the sensitivity, specificity, and accuracy were 78%, 90%, and 85%, respectively. The results of decision curve analysis showed that when the probability of ESWL efficacy in the diagnosis of pancreatic duct stones with CT image radiomics score was >0.05, the use of CT image radiomics score in the diagnosis of ESWL efficacy in pancreatic duct stones was more beneficial to patients in clinical practice than not.Conclusions:The treatment effect of ESWL for pancreatic duct stones can be predicted by CT imaging radiomics model.

Objective To observe changes of plain MR T1WI signal intensity of dentate nucleus in nasopharyngeal carcinoma patients after radiotherapy and multiple times of intravenous injection of gadolinium-based contrast agent(GBCA).Methods Fifty patients with pathologically confirmed nasopharyngeal carcinoma and received intensity-modulated radiotherapy were retrospectively enrolled as the nasopharyngeal carcinoma group,and 50 patients with other malignant tumors and without history of brain radiotherapy were retrospectively enrolled as the control group.All patients received yearly GBCA enhanced MR examinations for the nasopharynx or the head.T1WI signal intensities of the dentate nucleus and the pons on same plane were measured based on images in the year of confirmed diagnosis(recorded as the first year)and in the second to the fifth years.T1WI signal intensity ratio of year i(ranging from 1 to 5)was calculated with values of dentate nucleus divided by values of the pons(△SIi),while the percentage of relative changes of year j(ranging from 2 to 51 was calculated with △SIj compared to △SIi(Rchangej).The values of these two parameters were compared,and the correlation of △SI and GBCA injection year-time was evaluated within each group.Results No significant difference of gender,age nor △SI1 was found between groups(all P＞0.05).The second to the fifth year △SI and Rchange in nasopharyngeal carcinoma group were all higher than those in control group(all P＜0.05).Within both groups,△SI was positively correlated with GBCA injection year-time(both P＜0.05).Conclusion Patients with nasopharyngeal carcinoma who underwent radiotherapy and multiple times of intravenous injection of GBCA tended to be found with gradually worsening GBCA deposition in dentate nucleus,for which radiotherapy might be a risk factor.

Objective To observe the value of feature pyramid network(FPN)for automatic segmentation and semantic feature classification of spontaneous intracerebral hemorrhage(sICH)hematoma showed on non-contrast CT.Methods Non-contrast CT images of 408 sICH patients in hospital A(training set)and 103 sICH patients in hospital B(validation set)were retrospectively analyzed.Deep learning(DL)segmentation model was constructed based on FPN to segment the hematoma region,and its efficacy was assessed using intersection over union(IoU),Dice similarity coefficient(DSC)and accuracy.Then DL classification model was established to identify the semantic features of sICH hematoma.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of DL classification model for recognizing semantic features of sICH hematoma.Results The IoU,DSC and accuracy of DL segmentation model for 95％sICH hematoma in training set was 0.84±0.07,0.91±0.04 and(88.78±8.04)％,respectively,which was 0.83±0.07,0.91±0.05 and(88.59±7.76)％in validation set,respectively.The AUC of DL classification model for recognizing irregular shape,uneven density,satellite sign,mixed sign and vortex sign of sICH hematoma were 0.946-0.993 and 0.714-0.833 in training set and validation set,respectively.Conclusions FPN could accurately,effectively and automatically segment hematoma of sICH,hence having high efficacy for identifying semantic features of sICH hematoma.

Objective To observe the value of 3D Res2Net deep learning model for predicting volume doubling time(VDT)of solid pulmonary nodule.Methods Chest CT data of 734 patients with solid pulmonary nodules were retrospectively analyzed.The patients were divided into progressive group(n=218)and non-progressive group(n=516)according to whether lung nodule volume increased by ≥25％during follow-up or not,also assigned into training set(n=515)and validation set(n=219)at a ratio of 7∶3.Then a clinical model was constructed based on clinical factors being significantly different between groups,CT features model was constructed based on features of nodules on 2D CT images using convolutional neural network,and 3D Res2Net model was constructed based on Res2Net network using 3D CT images as input.Receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated.Taken actual VDT as gold standard,the efficacy of the above models for predicting solid pulmonary nodule'VDT≤400 days were evaluated.Results No significant difference of predicting efficacy for solid pulmonary nodule'VDT≤400 days was found among clinical model,CT feature model and 3D Res2Net model,the AUC of which was 0.689,0.698 and 0.734 in training set,0.692,0.714 and 0.721 in validation set,respectively.3D Res2Net model needed 5-7 s to predict VDT of solid pulmonary nodules,with an average time of(5.92±1.08)s.Conclusion 3D Res2Net model could be used to predict VDT of solid pulmonary nodules,which might obviously reduce manual interpreting time.

Objective:To investigate the value of CT tumor-thyroid marginal contact range (MCR) for predicting capsular invasion and cervical lymph node metastasis in papillary thyroid carcinoma (PTC) with a diameter>1.0 cm and papillary thyroid microcarcinomas (PTMC) with a diameter ≤ 1.0 cm, and to evaluate the diagnostic efficacy of direct CT signs for lymph node metastasis.Methods:The CT data of 148 patients with PTC (>1.0 cm) and 193 patients with PTMC confirmed by surgery and pathology were retrospectively analyzed from January 2017 to April 2020 at Hangzhou First People′s Hospital. MCR was evaluated based on CT images and classified as<1/4 tumor circumference or ≥1/4 tumor circumference. Direct CT signs of cervical lymph nodes were observed, including cystic change, microcalcification, hyperenhancement, short/long diameter≥0.5, clustered lymph nodes or central area turbidity. The difference in the distribution of MCR between PTC (>1.0 cm) and PTMC was compared using the χ 2 test, and the efficiency of MCR and direct CT signs for diagnosing capsular invasion and lymph node metastasis was calculated using the pathological results as the gold standard. Results:In 148 PTC (>1.0 cm) and 193 PTMC patients, the pathological results showed capsular invasion in 88.5% (131/148) and 57.0% (110/193), and lymph node metastasis in 71.6% (106/148) and 44.0% (85/193), respectively. In PTC (>1.0 cm) patients, MCR≥1/4 tumor circumference was more common in patients with capsular invasion (χ2=22.211, P<0.001) and lymph node metastasis (χ2=4.746, P=0.029), and the corresponding sensitivity and specificity for predicting capsular invasion and lymph node metastasis were 84.7% (111/131) and 64.7% (11/17), 83.0% (88/106) and 33.3% (14/42), respectively. In PTMC patients, MCR≥1/4 tumor circumference was more common in patients with capsular invasion (χ2=66.066, P<0.001) and lymph node metastasis (χ2=5.343, P=0.021), and its sensitivity and specificity for predicting capsular invasion and lymph node metastasis were 87.3% (96/110) and 69.9% (58/83), 71.8% (61/85) and 44.4% (48/108), respectively. The sensitivity and specificity of direct CT signs for diagnosing lymph node metastasis in PTC (>1.0 cm) and PTMC were 89.6% and 73.8%, 69.4% and 76.9%, respectively. Conclusions:Both direct CT signs and MCR ≥ 1/4 tumor circumference can predict cervical lymph node metastasis in PTC patients, and the former had higher sensitivity and specificity. MCR≥1/4 tumor circumference has high efficiency for predicting capsular invasion in PTC patients.

To scientifically evaluate the intervention effect of Chinese medicine preventive administration(combined use of Huo-xiang Zhengqi Oral Liquid and Jinhao Jiere Granules) on community population in the case of coronavirus disease 2019(COVID-19), a large cohort, prospective, randomized, and parallel-controlled clinical study was conducted. Total 22 065 subjects were included and randomly divided into 2 groups. The non-intervention group was given health guidance only, while the traditional Chinese medicine(TCM) intervention group was given two coordinated TCM in addition to health guidance. The medical instructions were as follows. Huoxiang Zhengqi Oral Liquid: oral before meals, 10 mL/time, 2 times/day, a course of 5 days. Jinhao Jiere Granules: dissolve in boiling water and take after meals, 8 g/time, 2 times/day, a course of 5 days, followed up for 14 days, respectively. The study found that with the intake of medication, the incidence rate of TCM intervention group was basically maintained at a low and continuous stable level(0.01%-0.02%), while the non-intervention group showed an overall trend of continuous growth(0.02%-0.18%) from 3 to 14 days. No suspected or confirmed COVID-19 case occurred in either group. There were 2 cases of colds in the TCM intervention group and 26 cases in the non-intervention group. The incidence of colds in the TCM intervention group was significantly lower(P<0.05) than that in the non-intervention group. In the population of 16-60 years old, the incidence rate of non-intervention and intervention groups were 0.01% and 0.25%, respectively. The difference of colds incidence between the two groups was statistically significant(P<0.05). In the population older than 60 years old, they were 0.04% and 0.21%, respectively. The incidence of colds in the non-intervention group was higher than that in the intervention group, but not reaching statistical difference. The protection rate of TCM for the whole population was 91.8%, especially for the population of age 16-60(95.0%). It was suggested that TCM intervention(combined use of Huoxiang Zhengqi Oral Liquid and Jinhao Jiere Granules) could effectively protect community residents against respiratory diseases, such as colds, which was worthy of promotion in the community. In addition, in terms of safety, the incidence of adverse events and adverse reactions in the TCM intervention group was relatively low, which was basically consistent with the drug instructions.
Adolescent ; Adult ; Betacoronavirus ; Coronavirus Infections ; drug therapy ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Middle Aged ; Pandemics ; Pneumonia, Viral ; drug therapy ; Prospective Studies ; Young Adult

Objective To investigate the imaging features of primary Rosa-i Dorfman disease (RDD)in the central nervous system and to increase the understanding of the disease.Methods The MRI findings of 5 cases with primary RDD of the central nervous system were analyzed retrospectively,and the related literatures were reviewed.Results Four cases located in the cranium,1 case located in the spinal cord,and 5 tumors were attached to the brain (ridge)membrane.The tumor was equal and low signal on T1 WI,and equal or slightly high signal on T2 WI.Obvious enhancement could be seen on enhance study,and obvious enhancementwas visible in adjacent brain (ridge)membrane,in which 1 case involved the skull,with thickening and strengthening of the skull.Tumors were attached to the meninges in a wide range,the local meninges of 3 cases were penetrated by tumor.Conclusion If young and middle-aged males have no obvious specific clinical manifestations,the images of MRI are single or multiple lesions that are closely related to the brain (ridge)membrane in larger extent and easily penetrate the brain (ridge)membrane,the possibility of RDD should be considered.

Objective: To investigate the prognostic value of radiomics analysis in predicting axillary lymph nodes (ALN) metastasis of breast cancer based on dynamic contrast-enhanced MR imaging (DCE-MRI). Methods: One hundred and ninety-six patients with suspected breast cancer were prospectively collected for dynamic breast DCE-MRI. Enhanced MR imaging data of 72 axillary lymph nodes were evaluated separately by a chief radiologist and a resident, and the consistency analysis was performed. Lymph nodes were dichotomized according to the pathology results derived from operation or biopsy under real-time virtual sonography based on MRI data. Clinical and imaging data were also divided into corresponding groups. (Imaging) Data from both groups were respectively classified as training set and testing set by stratified sampling in proportion with 3∶1. AK software was applied to extract 6 major categories of 385 features (including histogram, morphology, texture parameters, gray level co-occurrence matrix, run-length matrix and grey level zone size matrix from imaging), and a set of statistically significant features were subsequently obtained by dimension reduction. The prediction model was established through binary classification logistic regression and employed to externally test the validation set by the method of confusion matrix. Meanwhile, ROC analysis was applied to assess the diagnostic performance of the model. Results: Of the 72 axillary lymph nodes, 35 were metastatic negative and 37 were positive. The consistency of enhanced MRI radiomics features was good, between 0.841 and 0.980. Uniformity, ClusterProminence_AllDirection_offset1_SD, Correlation_AllDirection_offset1, LongRunEmphasis_angle90_offset7 and SurfaceVolumeRatio were statistically significant differences (P<0.01), the area under the ROC between 0.747 and 0.931. In the training and testing group, the areas under the ROC, sensitivity, specificity and accuracy of the model were 0.953, 0.893, 0.926, 92.6% (50/54) and 0.944, 0.900, 1.000, 88.9% (16/18) respectively. Conclusion The prediction model based on radiomic features may provide a non-invasive and effective approach to the assessment of the risk of ALN metastasis of breast cancer.

Objective: To investigate the use of conventional MR imaging to guide treatment in patients with cholecystolithiasis and diffuse inflammatory thickening of gallbladder wall. Methods: The clinical data of patients who were treated in the Ningbo Huamei Hospital, University of the Chinese Academy of Sciences between January 2017 and January 2018 were analyzed. These patients were divided into two groups: patients with acute cholecystitis (n=139) and patients with viral hepatitis combined with cholecystolithiasis (n=67). Differences in the imaging signs in standardized upper abdominal contrast enhanced MRI examinations were retrospectively analyzed. Results: The imaging signs, including stone location, continuity of gallbladder mucosa, exudation in peri-gallbladder space, edema of intrahepatic portal area showed significant differences between the two groups (all P<0.05). On stratification analysis, the type of thickened gallbladder wall, background of liver parenchyma and extent of edema in intrahepatic catchment area also showed significant differences (all P<0.05). The imaging signs, including non-gallbladder neck ductal stones, concentric thickening of gallbladder wall, continuous mucous membrane in gallbladder and no peri-gallbladder space exudation but diffuse edema of intrahepatic catchment area supported the diagnosis of viral hepatitis combined with gallstones. The imaging signs, including discontinuity of gallbladder mucosa, exudation of peri-gallbladder space, diffuse edema of gallbladder wall without a cirrhotic background and edema in intrahepatic portal area supported the diagnosis of acute calculous cholecystitis of gallbladder. Conclusions Routine upper abdominal contrast enhanced MRI plays an important role in demonstrating the underlying cause of gallbladder wall diffuse edema thickening in patients with gallstones. It provides an important reference for the choice of clinical treatment pathway.

Objective: To investigate the imaging characteristics and the cause for the misdiagnosis and mistreatment of epidermoid cyst in intrapancreatic accessory spleen (ECIPAS) in order to improve the accuracy of preoperative diagnosis. Methods: The clinical and imaging data of 8 patients with ECIPAS confirmed by pathology in Zhejiang Provincial People′s Hospital between June 2008 and February 2018 were collected. The reason for doctor visit included CA19-9 elevation (n=1) and pancreatic occupying mass (n=9) during physical examination and no obvious symptoms were reported. CT and MRI imaging features, diagnosis and treatment were analyzed. Results: The lesions in 8 cases of ECIPAS were all located in the tail of the pancreas and were cystic and solid. The lesions in 3 cases were mainly cystic and the cystic wall was linear, whose CT density, MRI signal and enhancement pattern cannot be compared with those of the spleen. Solid components can be seen in 5 cases, and the CT density or MR signal of the solid part was similar to that of the spleen. After enhancement, the solid part at the artery stage was uniformly enhanced and the enhancement degree was higher than that of the pancreas. Similar to the spleen, it was uniformly enhanced at the portal vein stage and the enhancement degree of the spleen was consistent. All 8 patients were diagnosed with pancreatic neoplastic lesions before surgery, and 1 patient had pancreatic fistula and peripancreatic necrosis after surgery. Postoperative pathology confirmed the diagnosis of ECIPAS. Conclusions Improving the radiologists and clinicians′ cognition of the imaging manifestations of ECIPAS can improve the accuracy of preoperative diagnosis and avoid unnecessary surgery due to misdiagnosis.